BackgroundThe difficult intubation is associated with failure of emergency tracheal intubation. This study aimed to develop and validate a model for predicting difficult intubation in emergency department (ED).MethodsA cross-sectional study was conducted in the ED. We collected data from all consecutive adult patients who underwent emergency tracheal intubation. Patients were excluded if they were intubated by low experience intubator. The difficult intubation was defined by grade III or IV of Cormack and Lehane classification. We used multivariable regression model to identify significant predictors of difficult intubation and weighted points proportional to the beta coefficient values. The ability to discriminate was quantified by using the area under receiver operating characteristics curve (AuROC). The bootstrapping method was used to validate the performance.ResultsA total of 1,212 intubations were analyzed. One hundred and fifty-seven intubations were enrolled in difficult intubation group. Five independence predictors were identified, and each was assigned a number of points proportional to its beta coefficient: male gender (one), large tongue (two), limit mouth opening (two), poor neck mobility (two), and presence of obstructed airway (three). Intubation assessment score model was created and applied to all subjects. The AuROC was 0.81 (95% confidence interval (CI): 0.77 - 0.85) for the development dataset, and 0.80 (95% CI: 0.76 - 0.85) for the validation dataset. We defined three risk groups: low risk (zero to one points), intermediate risk (two to three points), and high risk (above three points), and the difficult intubation rate was 4.7%, 22.5%, and 53.6%, respectively.ConclusionsIntubation assessment score model was constructed from patients’ simple characteristics and performed well in predicting difficult intubation and can discriminate between with and without difficult intubation.

Objective This study describes the predictors of in‐hospital cardiac arrest (IHCA) within 24 h of ED triage and evaluates their ability to predict patients at risk of IHCA. Methods A case–control study was conducted in the ED. ‘Cases’ are herein defined as hospitalised patients who experienced IHCA within 24 h after ED triage. The exclusion criteria were those younger than 16 years old, cases of traumatic arrest, or had do‐not‐resuscitate orders. The controls were adults, non‐traumatic cases, who did not experience IHCA within 24 h of ED triage. A multivariable regression model was used to identify significant predictors of IHCA. The ability to discriminate was quantified by utilising an area under receiver operating characteristic (AuROC) curve. Results Two hundred and fifty IHCAs were compared with 1000 controls. Five predictors emerged that were: higher National Early Warning Score (NEWS) at triage, equal or increase of NEWS after ED management, coronary artery disease as a comorbid disease, the use of a vasoactive agent, and initial serum bicarbonate level lower than 23.5 mmoL/L, independently associated with IHCA. The AuROC of the final model from all predictors was 0.91 (95% CI 0.89–0.93) higher than NEWS alone model (AuROC at 0.78, 95% CI 0.74–0.81). Conclusions We conclude that a combination of NEWS and four independent predictors identify patients at risk of IHCA more effectively than NEWS alone.

Basic life support (BLS) training is crucial in improvement of cardiopulmonary resuscitation (CPR) outcomes. Many studies have demonstrated improvement of skills after BLS training but the skills significantly decrease over time. Our study aimed to evaluate the retention of knowledge and skills after training following 2010 BLS guidelines in second year medical students at Faculty of Medicine, Thammasat University. Materials and Methods: One hundred and forty-nine second-year medical students were enrolled in the prospective cohort study. Participants were tested for knowledge and skills of BLS prior to training (pre-test), immediately after training (post-test) and six months after training (retention test). Results: The mean scores of pre-test, immediate post-test and retention-test were 8.52 (SD 1.88), 12.12 (SD 1.52) and 10.83 (SD 1.95), respectively. Improvement in knowledge score post-test and retention test were 3.60 (95% CI 3.22,3.99 P<0.001) and 2.31 (95% CI 1.92,2.70 P<0.001) respectively, compared with pre-test score. In post-test, detection skill, activation skill and compression skill were improved 1.67 (95% CI 1.28,2.19 P<0.001), 5.15 (95% CI 3.41,7.77 P<0.001) and 3.88 times (95% CI 2.24,6.71 P<0.001) compared with pretest evaluation. Comparison between retention test and pre-test was improved detection skill 1.72 (95% CI 1.31,2.26 P<0.001), activation skill 4.4 (95% CI 2.93,6.75 P<0.001) and compression skill 2.56 (95% CI 1.44,4.57 P=0.001). Knowledge decreased 1.29 times in retention test compared with post-test (95% CI −1.67,0.92 P<0.001). In retention test, detection skill increased 1.03 times (95% CI 0.81,1.29 P = 0.810), activation skill decreased 0.86 times (95% CI 0.98,1.10 P =0.24) and compression skill decreased 0.66 times (95% CI 0.45,0.98 P=0.04) compared with post-test. Conclusion: Knowledge and skills of BLS significantly improved after training in second year medical students. However, the knowledge decreased at 6 months after training although the BLS skills still remained.

Targeted temperature management (TTM) shows the most promising neuroprotective therapy against hypoxic/ischemic encephalopathy (HIE). In addition, TTM is also useful for treatment of elevated intracranial pressure (ICP). HIE and elevated ICP are common catastrophic conditions in patients admitted in Neurologic intensive care unit (ICU). The most common cause of HIE is cardiac arrest. Randomized control trials demonstrate clinical benefits of TTM in patients with post-cardiac arrest. Although clinical benefit of ICP control by TTM in some specific critical condition, for an example in traumatic brain injury, is still controversial, efficacy of ICP control by TTM is confirmed by both in vivo and in vitro studies. Several methods of TTM have been reported in the literature. TTM can apply to various clinical conditions associated with hypoxic/ischemic brain injury and elevated ICP in Neurologic ICU.

Targeted temperature management (TTM) is indicated for comatose survivors of cardiac arrest to improve outcomes. However, the benefit of TTM was verified by rigid controlled clinical trials. This study aimed at evaluating its effects in real-world practices. A prospective observational study was done at the emergency department of tertiary care, Thammasat Hospital, from March 2012 until October 2015. We included all who did not obey verbal commands after being resuscitated from cardiac arrest regardless of initial cardiac rhythm. We excluded patients with traumatic arrest, uncontrolled bleeding, younger than 15 years old, and of poor neurological status (Glasgow coma scale below 14) before cardiac arrest. Primary and secondary outcomes were survival to hospital discharge and favorable neurological outcome (Cerebral Performance Categories 1 or 2 within 30 days). We used the logistic regression model to estimate the propensity score (PS) that will be used as a weight in the analysis. To analyze outcomes, the PS was introduced as a factor in the final logistic regression model in conjunction with other factors. A total of 192 cases, 61 and 131 patients, were enrolled in TTM and non-TTM groups, respectively. Characteristics believed to be related to initiation of TTM: gender, age, cardiac etiology, out-of-hospital cardiac arrest, witness arrest, collapse time, initial rhythm, received defibrillation, and advanced airway insertion, were included in multivariable analysis and estimated PS. After adjusted regression analysis with PS, the TTM group had a better result in survival to hospital discharge (34.43% vs. 12.21%; adjusted incidence risk ratio (IRR), 2.95; 95% confidence interval (CI), 1.49-5.84; p = 0.002). For neurological outcome, the TTM group had a higher number of favorable neurological outcomes (24.59% vs. 6.87%; IRR, 3.96; 95% CI, 1.67-9.36; p = 0.002). In real-world practices without a strictly controlled environment, TTM can improve survival and favorable neurological outcome in postcardiac arrest patients regardless of initial rhythm.